calculate_mantelhaenszel: Calculates the Mantel-Haenszel statistic for Differential...
In mirka-henninger/raschTreeEffectSize: Helper functions to use the Mantel-Haenszel effect size measure as a stopping criterion in Rasch trees
Description
Usage
Arguments
Value
View source: R/calculate_mantelhaenszel.R
Description
Calculates the Mantel-Haenszel statistic for Differential Item Functioning (DIF)
Usage
1
calculate_mantelhaenszel(dat, split_group, sums, purification, ...)
Arguments
dat
A dataframe with dichotomous item responses
split_group
An indicator of the two groups for which DIF analyses should be performed
sums
A sum score used as a matching criterion for computing the Mantel Haenszel statistic
purification
A character indicating the type of purification that is used on the Mantel Haenszel statistic. Options are "none", "2step", or "iterative"
...
Further arguments
Value
A list with the Mantel-Haenszel effect size measure in the Delta scale, the classification based on the ETS guidelines and information on purification and convergence of purification if iterative purification was done.
mirka-henninger/raschTreeEffectSize documentation built on Nov. 14, 2021, 11:15 p.m.
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Description Usage Arguments Value
View source: R/calculate_mantelhaenszel.R
Description
Calculates the Mantel-Haenszel statistic for Differential Item Functioning (DIF)
Usage
1 | calculate_mantelhaenszel(dat, split_group, sums, purification, ...)
|
Arguments
dat |
A dataframe with dichotomous item responses |
split_group |
An indicator of the two groups for which DIF analyses should be performed |
sums |
A sum score used as a matching criterion for computing the Mantel Haenszel statistic |
purification |
A character indicating the type of purification that is used on the Mantel Haenszel statistic. Options are "none", "2step", or "iterative" |
... |
Further arguments |
Value
A list with the Mantel-Haenszel effect size measure in the Delta scale, the classification based on the ETS guidelines and information on purification and convergence of purification if iterative purification was done.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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